Piloting a Survey-Based Assessment of Transparency and Trustworthiness with Three Medical AI Tools.

Fehr, Jana; Jaramillo-Gutierrez, Giovanna; Oala, Luis; Gröschel, Matthias I; Bierwirth, Manuel; Balachandran, Pradeep; Werneck-Leite, Alixandro; Lippert, Christoph

Fehr, Jana; Jaramillo-Gutierrez, Giovanna; Oala, Luis; Gröschel, Matthias I; Bierwirth, Manuel; Balachandran, Pradeep; Werneck-Leite, Alixandro; Lippert, Christoph.

Afiliación

Fehr J; Digital Engineering Faculty, University of Potsdam, 14482 Potsdam, Germany.
Jaramillo-Gutierrez G; Digital Health & Machine Learning, Hasso Plattner Institute, 14482 Potsdam, Germany.
Oala L; Milan and Associates SRL, 6960 Manhay, Belgium.
Gröschel MI; ITU/WHO Focus Group AI4H, 1211 Geneva, Switzerland.
Bierwirth M; Department of Artificial Intelligence, Fraunhofer HHI, 10587 Berlin, Germany.
Balachandran P; Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Werneck-Leite A; ITU/WHO Focus Group AI4H, 1211 Geneva, Switzerland.
Lippert C; Alumnus Goethe Frankfurt University, 60323 Frankfurt am Main, Germany.

Healthcare (Basel) ; 10(10)2022 Sep 30.

Article en En | MEDLINE | ID: mdl-36292369

Palabras clave

artificial intelligence for health; quality assessment; transparency; trustworthiness

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Healthcare (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Alemania

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